Methods for evaluation of everyday activities in home care systems

OData support
Supervisor:
Dr. Magyar Gábor Béla
Department of Telecommunications and Media Informatics

Changes in today’s social and demography raise the question how elderly people living alone or disabled could spend more time in their own homes and environment while they are under constant monitoring. To tell the truth countinous monitoring in a hospital would be also possible, but this regularity has its financial and logistic barriers.

Using advanced means of telecommunication could faciliate the rehabilitacion of old and disabled people, and also make the life easier for those in need of medical attendance, nursing and also for their family. Such a lifestyle supporting system manages emergency situations using different kinds of sensors that are placed in their place. Later the system can be used to prevent chronical diseases in the long run. With the help of this kind of a system elderly people could live their lives in their own homes and they do not need to keep on going to hospitals for continuous examinations.

I intend to focus my research on the data processing of so-called ADLs (Activities of Daily Living) in an inspected environment, based on the signals provided by sensors. Along with my colleague I designed a system which saves the data collected from an intelligent environment. One of its main functions is that it is capable of playing back the signals received in a predefined timeframe at an arbitrary speed and forwarding them to the processing modul. Based on the processed data, the system is able to evaluate weekly and monthly statistics in different ways. The results we receive this way can help us to anticipate certain diseases or to find more efficient treatments and curing.

This area of science develops at a very fast rate, therefore I suspect that the planned system is a great base to develop a more robust, more complex system which would be a competitive alternative to some other systems on the market.

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